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Binarization of Color Images from an Adaptation of Possibilistic C-Means Algorithm
Cambridge UK August 23-August 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.133427717th International Conference on Patt ...
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Salvatore Tabbone, LORIA-INRIA
Laurent Wendling, LORIA-INRIA
A color image binarization is presented in this paper. The iterative possibilistic c-means algorithm is adapted by adding a fuzzy entropy criterion to split the membership function in two clusters (background and object). Such an improvement allows to perform a threshold free color binarization. Experimental results show the promising aspect of our approach.
Citation:
Salvatore Tabbone, Laurent Wendling, "Binarization of Color Images from an Adaptation of Possibilistic C-Means Algorithm," icpr, vol. 1, pp.704-707, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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